Sleep Apnea Detection Using Single Lead ECG Respiration Estimates
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU129181" target="_blank" >RIV/00216305:26220/18:PU129181 - isvavai.cz</a>
Result on the web
<a href="http://www.yberc.sk/2018/" target="_blank" >http://www.yberc.sk/2018/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Sleep Apnea Detection Using Single Lead ECG Respiration Estimates
Original language description
This article is dealing with problematics of sleep apnea syndrome and its diagnostics. It briefly summarizes two main types of sleep apnea and their distinctive features visible on polysomnographic signal. Using Physionet database as a source of data, one of the alternative approaches of sleep apnea detection is utilized, using respiration sinus arrhythmia (RSA) method of respiration estimate and single lead electrocardiography (ECG) signal. Multiple classification methods are utilized for comparison with overall accuracy over 80 % achieved.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
YBERC 2018 International Conference Proceedings
ISBN
978-80-8086-271-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
Technická univerzita v Košiciach
Place of publication
Košice
Event location
Košice
Event date
Oct 3, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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